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Principles of human movement augmentation and the challenges in making it a reality.
Eden, Jonathan; Bräcklein, Mario; Ibáñez, Jaime; Barsakcioglu, Deren Yusuf; Di Pino, Giovanni; Farina, Dario; Burdet, Etienne; Mehring, Carsten.
Afiliación
  • Eden J; Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
  • Bräcklein M; Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
  • Ibáñez J; Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
  • Barsakcioglu DY; BSICoS, IIS Aragón, Universidad de Zaragoza, Zaragoza, Spain.
  • Di Pino G; Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London, UK.
  • Farina D; Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
  • Burdet E; NEXT: Neurophysiology and Neuroengineering of Human-Technology Interaction Research Unit, Università Campus Bio-Medico di Roma, Rome, Italy.
  • Mehring C; Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
Nat Commun ; 13(1): 1345, 2022 03 15.
Article en En | MEDLINE | ID: mdl-35292665
ABSTRACT
Augmenting the body with artificial limbs controlled concurrently to one's natural limbs has long appeared in science fiction, but recent technological and neuroscientific advances have begun to make this possible. By allowing individuals to achieve otherwise impossible actions, movement augmentation could revolutionize medical and industrial applications and profoundly change the way humans interact with the environment. Here, we construct a movement augmentation taxonomy through what is augmented and how it is achieved. With this framework, we analyze augmentation that extends the number of degrees-of-freedom, discuss critical features of effective augmentation such as physiological control signals, sensory feedback and learning as well as application scenarios, and propose a vision for the field.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Miembros Artificiales Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Miembros Artificiales Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido